We enhance the Tab model through an optimization process, utilizing a hyperparameter tuning algorithm inspired by the nature-based electric eel foraging optimization (EEFO) algorithm. The goal of the ...

Some research orientations include focusing on developing solutions to optimize machine learning models and learning parameters. In this study, we investigated an optimization solution for learning ...

Furthermore, the accuracy of the proposed model demonstrates improvement following the optimization process. These results underscore the efficacy of ensemble learning, coupled with hyperparameter ...

Hyperparameter tuning greatly enhanced both models’ performances, with some optimized models rivaling or exceeding the results from prior studies. Interestingly, despite its infrequent use in previous ...

We showed how critical it is to use hyperparameter optimization techniques for designing any neuromorphic computing framework and how Bayesian approaches can help in this regard. H-PABO reduces to a ...